Results 161 to 170 of about 2,902,487 (326)
We evaluated whether anatomical resection (AR) provides an oncological benefit over non‐anatomical resection (NAR) in solitary hepatocellular carcinoma ≤ 5 cm without predicted microvascular invasion or intrahepatic metastasis, identified by preoperative DCP ≤ 150 mAU/mL.
Norifumi Iseda +6 more
wiley +1 more source
Computational Prediction of the Complete Adsorption-Regeneration Cycle of Functionalized Metal-Organic Frameworks for Atmospheric Water Harvesting. [PDF]
Arjmandi M, Khayet M.
europepmc +1 more source
Marie-Laure Basilien-Gainche, État de droit et états d’exception , Paris, Puf, 2013, 303 p. [PDF]
Marthe Fatin-Rouge Stéfanini
openalex +1 more source
100% Genuine Microsoft AZ-303 Dumps PDF 2k22 - Gratisdumps.com
AZ-303
openalex +2 more sources
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana +9 more
wiley +1 more source
INPRESS: INvasive PRESSure Monitoring Knowledge and Practice Survey. [PDF]
Coolens O +4 more
europepmc +1 more source
This study investigated the surgical outcomes of sequential robot‐assisted hepatobiliary–pancreatic (HBP) in a single operating room. The outcomes and operating room timelines were comparable between the first and second cases. The median turnover time was 49 min, and the day‐shift completion success rate was 34.4%.
Tomokazu Fuji +7 more
wiley +1 more source
Paclitaxel-Coated Balloon for Treating In-Stent Restenosis in Racial and Ethnic Minority Patients: A Subanalysis From the AGENT IDE Trial. [PDF]
Jamil Y +18 more
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source

